Triple
T4463365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inspector General of the Luftwaffe |
E98310
|
entity |
| Predicate | officeHeldByRank |
P32760
|
FINISHED |
| Object | general officer |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: general officer | Statement: [Inspector General of the Luftwaffe, officeHeldByRank, general officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHeldByRank Context triple: [Inspector General of the Luftwaffe, officeHeldByRank, general officer]
-
A.
officeHeldOf
Indicates that a specific office or position is (or was) held by a particular person or entity.
-
B.
officeHeldByMember
Indicates that a specific office or position is held or occupied by a particular member.
-
C.
officeHeldUnder
Indicates that one entity holds or has held an official position, role, or office under the authority, jurisdiction, or administration of another entity.
-
D.
officeHeldDuring
Indicates that a person occupied a specific official position during a particular time period.
-
E.
rankHeldByOfficeholder
chosen
Indicates the specific rank or level associated with an office or position that is held by a particular officeholder.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567913788190ac4f28fbe63a4fa9 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.